No differences were observed on BW at 44 d of age ( P = 0.415) between experimental treatments, but a significant trend was observed on BW at 65 d of age ( P = 0.100).
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When the Spearman’s rank-order correlation analysis was conducted on the particle ranks while excluding CRI, a statistically significant rank-order was observed for β R CELLS versus β T BALB/c (Table 6 ; R = 1.0, p < 0.001), while β I-V CELLS versus β I BALB/c and the integrated potency estimates Iβ CELLS versus Iβ BALB/c did not show a significant trend in a correlation due to low power (Table 6 ; R = 0.8, p = 0.100).
Thus, only the significant variables ( p < 0.05) or those with a significant trend (0.05 < p < 0.10) were included in the final model.
The Wilcoxon signed-rank test showed a significant change in erectile function ( P < 0.05; r = –0.65) and a significant trend in intercourse satisfaction ( P < 0.10; r = –0.47) and overall satisfaction ( P < .10; r = –0.47).
A single factor analysis was performed for each observation index, and variables with statistical significance or no statistical significance but with a significant trend ( P < 0.1) were included in the multivariate logistic regression analysis model, test level α = 0.05.
The factors included in the multivariate analysis were those that were significant or showed a significant trend (P < 0.1) in the univariate model.
Among histological features, the average number of mitoses in locally recurrent cases (5.47/10 HPF) was higher than those in non‐recurrent cases (3.88/10 HPF) (t‐test, P = 0.055, a significant trend 0.05 ≤ P < 0.10).
On multivariate analysis using a logistic model, no-interruption fasting was significantly more frequent in patients with type 2 diabetes (OR = 1.969 [1.043–3.716]; p =0.036) and among male patients (OR = 1.677 [1.115–2.522]; p =0.013), with a significant trend for patients living in urban areas compared to those living in rural areas (OR=1.73 [0.898–3.332]; p =0.10), for patients with high level of education (university) compared those not in school or primary level (OR=1.756 [0.998–3.089]; p =0.05), and also for patients treated with insulin analogs compared with patients who did not receive it (OR = 1.442 [0.960–2.167]; p =0.07).
Secondly, multiple linear regressions were only conducted with the independent variables that are associated with a significant trend or effect ( p < 0.10).
Results were considered highly statistically significant at P < 0.01, statistically significant at P < 0.05, and having a significant trend when 0.05 < P < 0.10.
When a significant trend ( p < 0.1) was observed, planned pair-wise comparisons were performed in a similar manner to explore emotional change effects.
Statistical significance was considered at P < 0.05, with a significant trend noted at 0.05 ≤ P < 0.10.
Baseline clinical and procedural covariates with a significant trend (p<0.1) in the univariate analyses were considered candidate variables for multivariate model.
All data are presented as the estimated marginal means and standard error of the means (EM means ± SEM), and significance was considered at P < 0.05, with a significant trend defined at 0.05 ≤ P ≤ 0.10.
Age-cohort analysis showed a significant trend over time favouring early HPE ( χ 2 = 7.6, P = 0.10 and for trend χ 2 = 4.5, P = 0.03) (Fig. 2 ).
To reduce the complexity of this final model, only variables indicative of a significant trend in Model 2 ( P < .1) remained in Model 3 [34] .
In the next step, all variables were tested for any changes from “start” to “mid”, “mid” to “end”, or “start to end”, and those tending to have a significant trend of changing at least p < 0.1 were identified.
Nonetheless, when grouping the 6 patients in Fig 4C , the entropy reductions of C1 were not followed by a functional connectivity decrease, in contrast to C0, where the decrease showed a significant trend ( P < 0.1, Wilcoxon test).
The ANCOVA for diabetes-specific distress (PAID) showed a significant trend, F (3, 195) = 2.24, p < .10.
However, we did find a significant trend in the frequency of physical contact (Telenoid > Face, t = −2.06, p < 0.10; Figures 3 , 4 ).
Variables with a significant trend ( p < 0.1) in the univariate logistic analysis were included in the multivariable logistic model and backward eliminated to a significance level of 0.05.
In addition, a significant trend was observed for the pyrimidine metabolism pathway ( p < 0.10). 4.
We also found a significant trend between the mean scores of the SFA and Control groups in the post-2 ( Figure 3B , p < 0.10).
To assess each clinical characteristic's absence on the occurrence of ICU-AW, logistic regression analysis was conducted, correcting for risk factors that showed a significant trend (P ≤ 0.1) in univariate analysis.
A significant trend was noted when 0.05 ≥ p > 0.10.